IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i15p2985-d254189.html
   My bibliography  Save this article

Smart Load Management with Energy Storage for Power Quality Enhancement in Wind-Powered Oil and Gas Applications

Author

Listed:
  • Erick Alves

    (Department of Electric Power Engineering, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway
    Current address: O.S. Bragstads Plass 2E, 7034 Trondheim, Norway.)

  • Santiago Sanchez

    (Department of Electric Power Engineering, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway
    Current address: O.S. Bragstads Plass 2E, 7034 Trondheim, Norway.)

  • Danilo Brandao

    (Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil
    Current address: Av. Antônio Carlos, 6627, Campus Pampulha, Belo Horizonte 31270-901, MG, Brazil.)

  • Elisabetta Tedeschi

    (Department of Electric Power Engineering, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway
    Current address: O.S. Bragstads Plass 2E, 7034 Trondheim, Norway.)

Abstract

This paper investigates power quality issues in a wind-powered offshore oil and gas platform operating in island mode. Topics of interest are the negative effects that load and wind power variability have on the electrical system frequency and voltage; and how those influence the gas turbine operation. The authors discuss how smart load management together with energy storage can mitigate those effects, and propose a control algorithm for that. Simulations in MATLAB/Simulink demonstrate that the proposed energy storage controller reduces frequency and voltage variations in a case study. Moreover, the paper presents a methodology to derive a simplified model of the hybrid energy system that reduces simulation time in at least two orders of magnitude. The latter can be a useful tool for optimization algorithms evaluating a huge number of scenarios, especially those dealing with economical dispatch of generators or sizing of energy storage systems.

Suggested Citation

  • Erick Alves & Santiago Sanchez & Danilo Brandao & Elisabetta Tedeschi, 2019. "Smart Load Management with Energy Storage for Power Quality Enhancement in Wind-Powered Oil and Gas Applications," Energies, MDPI, vol. 12(15), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2985-:d:254189
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/15/2985/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/15/2985/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marvik, Jorun I. & Øyslebø, Eirik V. & Korpås, Magnus, 2013. "Electrification of offshore petroleum installations with offshore wind integration," Renewable Energy, Elsevier, vol. 50(C), pages 558-564.
    2. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Contreras, Javier, 2007. "Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage," Renewable Energy, Elsevier, vol. 32(7), pages 1102-1126.
    3. Fossati, Juan P. & Galarza, Ainhoa & Martín-Villate, Ander & Fontán, Luis, 2015. "A method for optimal sizing energy storage systems for microgrids," Renewable Energy, Elsevier, vol. 77(C), pages 539-549.
    4. Kuznetsova, Elizaveta & Li, Yan-Fu & Ruiz, Carlos & Zio, Enrico, 2014. "An integrated framework of agent-based modelling and robust optimization for microgrid energy management," Applied Energy, Elsevier, vol. 129(C), pages 70-88.
    5. Chapaloglou, Spyridon & Nesiadis, Athanasios & Iliadis, Petros & Atsonios, Konstantinos & Nikolopoulos, Nikos & Grammelis, Panagiotis & Yiakopoulos, Christos & Antoniadis, Ioannis & Kakaras, Emmanuel, 2019. "Smart energy management algorithm for load smoothing and peak shaving based on load forecasting of an island’s power system," Applied Energy, Elsevier, vol. 238(C), pages 627-642.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Polleux, Louis & Schuhler, Thierry & Guerassimoff, Gilles & Marmorat, Jean-Paul & Sandoval-Moreno, John & Ghazouani, Sami, 2021. "On the relationship between battery power capacity sizing and solar variability scenarios for industrial off-grid power plants," Applied Energy, Elsevier, vol. 302(C).
    2. Polleux, Louis & Guerassimoff, Gilles & Marmorat, Jean-Paul & Sandoval-Moreno, John & Schuhler, Thierry, 2022. "An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    3. Luca Riboldi & Marcin Pilarczyk & Lars O. Nord, 2021. "The Impact of Process Heat on the Decarbonisation Potential of Offshore Installations by Hybrid Energy Systems," Energies, MDPI, vol. 14(23), pages 1-15, December.
    4. Norma Anglani & Salvatore R. Di Salvo & Giovanna Oriti & Alexander L. Julian, 2023. "Steps towards Decarbonization of an Offshore Microgrid: Including Renewable, Enhancing Storage and Eliminating Need of Dump Load," Energies, MDPI, vol. 16(3), pages 1-18, January.
    5. Lais Abrantes Vitoi & Danilo Brandao & Elisabetta Tedeschi, 2021. "Active Power Filter Pre-Selection Tool to Enhance the Power Quality in Oil and Gas Platforms," Energies, MDPI, vol. 14(4), pages 1-18, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Bei & Roche, Robin & Miraoui, Abdellatif, 2017. "Microgrid sizing with combined evolutionary algorithm and MILP unit commitment," Applied Energy, Elsevier, vol. 188(C), pages 547-562.
    2. Li, Bei & Roche, Robin & Paire, Damien & Miraoui, Abdellatif, 2017. "Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation," Applied Energy, Elsevier, vol. 205(C), pages 1244-1259.
    3. Wang, Dongxiao & Qiu, Jing & Reedman, Luke & Meng, Ke & Lai, Loi Lei, 2018. "Two-stage energy management for networked microgrids with high renewable penetration," Applied Energy, Elsevier, vol. 226(C), pages 39-48.
    4. Akhtar Hussain & Van-Hai Bui & Hak-Man Kim, 2016. "Robust Optimization-Based Scheduling of Multi-Microgrids Considering Uncertainties," Energies, MDPI, vol. 9(4), pages 1-21, April.
    5. Sharafi, Masoud & ELMekkawy, Tarek Y., 2014. "Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach," Renewable Energy, Elsevier, vol. 68(C), pages 67-79.
    6. Khiareddine, Abla & Ben Salah, Chokri & Rekioua, Djamila & Mimouni, Mohamed Faouzi, 2018. "Sizing methodology for hybrid photovoltaic /wind/ hydrogen/battery integrated to energy management strategy for pumping system," Energy, Elsevier, vol. 153(C), pages 743-762.
    7. Anvari-Moghaddam, Amjad & Rahimi-Kian, Ashkan & Mirian, Maryam S. & Guerrero, Josep M., 2017. "A multi-agent based energy management solution for integrated buildings and microgrid system," Applied Energy, Elsevier, vol. 203(C), pages 41-56.
    8. Pérez-Navarro, A. & Alfonso, D. & Álvarez, C. & Ibáñez, F. & Sánchez, C. & Segura, I., 2010. "Hybrid biomass-wind power plant for reliable energy generation," Renewable Energy, Elsevier, vol. 35(7), pages 1436-1443.
    9. Eypasch, Martin & Schimpe, Michael & Kanwar, Aastha & Hartmann, Tobias & Herzog, Simon & Frank, Torsten & Hamacher, Thomas, 2017. "Model-based techno-economic evaluation of an electricity storage system based on Liquid Organic Hydrogen Carriers," Applied Energy, Elsevier, vol. 185(P1), pages 320-330.
    10. Upadhyay, Subho & Sharma, M.P., 2016. "Selection of a suitable energy management strategy for a hybrid energy system in a remote rural area of India," Energy, Elsevier, vol. 94(C), pages 352-366.
    11. Seixas, M. & Melício, R. & Mendes, V.M.F. & Couto, C., 2016. "Blade pitch control malfunction simulation in a wind energy conversion system with MPC five-level converter," Renewable Energy, Elsevier, vol. 89(C), pages 339-350.
    12. Talaat, M. & Hatata, A.Y. & Alsayyari, Abdulaziz S. & Alblawi, Adel, 2020. "A smart load management system based on the grasshopper optimization algorithm using the under-frequency load shedding approach," Energy, Elsevier, vol. 190(C).
    13. Hai Lan & Jinfeng Dai & Shuli Wen & Ying-Yi Hong & David C. Yu & Yifei Bai, 2015. "Optimal Tilt Angle of Photovoltaic Arrays and Economic Allocation of Energy Storage System on Large Oil Tanker Ship," Energies, MDPI, vol. 8(10), pages 1-16, October.
    14. Ana Rita Silva & Ana Estanqueiro, 2022. "From Wind to Hybrid: A Contribution to the Optimal Design of Utility-Scale Hybrid Power Plants," Energies, MDPI, vol. 15(7), pages 1-19, April.
    15. Coelho, Vitor N. & Coelho, Igor M. & Coelho, Bruno N. & Cohen, Miri Weiss & Reis, Agnaldo J.R. & Silva, Sidelmo M. & Souza, Marcone J.F. & Fleming, Peter J. & Guimarães, Frederico G., 2016. "Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid," Renewable Energy, Elsevier, vol. 89(C), pages 730-742.
    16. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    17. Wen, Shuli & Lan, Hai & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun & Cheng, Peng, 2016. "Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system," Applied Energy, Elsevier, vol. 175(C), pages 158-167.
    18. Sachs, Julia & Sawodny, Oliver, 2016. "Multi-objective three stage design optimization for island microgrids," Applied Energy, Elsevier, vol. 165(C), pages 789-800.
    19. Lange, Christopher & Rueß, Alexandra & Nuß, Andreas & Öchsner, Richard & März, Martin, 2020. "Dimensioning battery energy storage systems for peak shaving based on a real-time control algorithm," Applied Energy, Elsevier, vol. 280(C).
    20. Zhao, Bo & Xue, Meidong & Zhang, Xuesong & Wang, Caisheng & Zhao, Junhui, 2015. "An MAS based energy management system for a stand-alone microgrid at high altitude," Applied Energy, Elsevier, vol. 143(C), pages 251-261.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2985-:d:254189. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.